StreamGPT is Stream’s product for organizations that want AI assistants working on their internal data and knowledge, while users, access rights, policies and audit logs stay under the organization’s own control.
StreamGPT user workspace — chat, search the file library, and upload files for analysis
Core capabilities
Internal Knowledge Assistant
- Internal knowledge assistant — helps employees quickly access internal knowledge, documents and organizational policies through natural-language queries.
- Accurate knowledge retrieval — StreamGPT retrieves relevant information from internal documents using Retrieval-Augmented Generation (RAG), so responses are grounded in trusted company data.
Knowledge Base — manage document collections and knowledge sources for AI agents
FAQs Management
- Centralized FAQ repository — manage and organize frequently asked questions in one system for consistent answers across the organization.
- Verified & updatable responses — maintain approved answers that can be easily updated to stay accurate and aligned with company policies.
FAQs Management
AI Persona & Agent Management
- Custom AI personas — create specialized AI assistants for departments such as HR, Finance, Legal and IT, each with its own knowledge and response behavior.
- Agent configuration & control — manage and deploy AI agents for organizational tasks, adjusting prompts, knowledge sources and operational settings.
Creating and managing AI personas / agents
Enterprise Governance
- User & access management — control user roles, permissions and access levels for secure, appropriate use of AI across the organization.
- Usage monitoring & audit logs — track system activity, monitor AI usage and keep audit logs for transparency and compliance.
- Policy & system configuration — manage system settings, security policies and operational parameters (for example automatic masking of personal data, content-filtering level and log retention) in line with organizational governance standards.
System Config — Data Privacy & Compliance and Audit Logs
Enterprise architecture
Applications, platform capabilities, data and infrastructure operate as one managed architecture, built to meet 9 AI governance pillars (F1–F9).
Who it is for
- Organizations that want employees to use AI on internal knowledge while data stays in infrastructure they control
- Teams that need departmental assistants for HR, Finance, Legal or IT
- Organizations that require access control, an audit trail and enforceable AI-usage policies
